Erica Stanley
Director of Engineering, Google
Atlanta, Georgia, United States
Erica Stanley is an engineering leader, community organizer, and tech diversity & inclusion advocate. She is a Director of Engineering, and site lead for Google Play Atlanta, as well as a venture partner and angel investor. During her 20-year career, she’s worked in Fortune 500 companies, early-stage startups, and academia. She holds a B.S and M.S in Computer Science from Clark Atlanta University and has conducted post-graduate research at the University of North Carolina at Chapel Hill, where she specialized in graphics, visualization, and telepresence.
Erica is active in the Atlanta technology community. She helps develop and teach youth coding programs, speaks at conferences, and user groups, and mentors entrepreneurs for incubators and accelerators. She founded the Atlanta network of Women Who Code and co-founded REFACTR.TECH, a tech conference series that showcases technologists from underrepresented and marginalized backgrounds.
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A Seat at the Table: Building Inclusive Ecosystems
Inclusion doesn't just happen. It has to be intentionally and continuously cultivated. In this session, we'll discuss the ways we can all be responsible for building communities with an inclusion-first mindset. I'll describe my lessons learned and walk through a framework for optimizing for inclusion.
Code Reviews, For the Culture
Our engineering workflow revolves around our code review process. Code reviews are more than just a way to make sure we don’t introduce new bugs into the codebase. They have become pillars of our team’s engineering culture—ensuring code quality, encouraging collaboration and providing valuable teaching and learning opportunities.
We’ll look at the ways your code review process can define, reflect and reinforce your team's culture. These methods can be useful whether you're building and managing engineering teams at startups, large companies or even open source communities. We’ll then walk through the process with actual Pull Requests and identify best practices for more productive code reviews.
Machine Learning for ALL!
As we hear more and more about Machine Learning, few web developers have actually had the opportunity to use it in a project or product. It seems like you have to have years of Data Science, Statistics or AI education to even understand how to start. While some prerequisite education is needed to get you started, it's not as much as you might think and there are collections of libraries to help along the way. This session will give a brief introduction to Machine Learning, detail resources for further reading and delve into the libraries that make it possible.
Erica Stanley
Director of Engineering, Google
Atlanta, Georgia, United States
Links
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